An iterative virtual-ESPRIT algorithm (IVESPA)

Author

Gönen, Egemen ; Mendel, Jerry M.

Author_Institution

Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA

fYear

1996

fDate

24-26 Jun 1996

Firstpage

86

Lastpage

89

Abstract

An iterative algorithm (IVESPA) for narrow-band direction-finding and waveform recovery is presented which is based on the virtual-ESPRIT (VESPA) of Dogan and Mendel (see IEEE Trans. on Signal Processing, vol.42, no.5, p.1200, 1995). IVESPA can handle the case where the data length is short and some of the sources have very small higher-order statistics compared to others, in which case VESPA needs more data to localize the weak sources. IVESPA can be applied to uncalibrated and arbitrary-shape arrays provided the array has two sensors having identical response-the same requirement as in VESPA. Results of a real data experiment demonstrating IVESPA are presented

Keywords

direction-of-arrival estimation; higher order statistics; iterative methods; DOA estimation; IVESPA; arbitrary shape arrays; data experiment; higher-order statistics; iterative virtual ESPRIT algorithm; narrowband direction finding; short data length; uncalibrated arrays; waveform recovery; weak sources; Binary phase shift keying; Constellation diagram; Covariance matrix; Higher order statistics; Image processing; Iterative algorithms; Narrowband; Parameter estimation; Sensor arrays; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004

Conference_Location

Corfu

Print_ISBN

0-8186-7576-4

Type

conf

DOI

10.1109/SSAP.1996.534826

Filename

534826